fix(ai): GGUF layer handling and safetensors parameter counts (#5343)

* fix(ai): keep merging GGUF layers when one fails to parse

a single unparseable layer in an OCI GGUF artifact skipped the merge, so the
named model lost its parts and nameless layers were dropped. The error is
still returned.

Signed-off-by: Alex Goodman <wagoodman@users.noreply.github.com>

* fix(ai): only send GGUF layers to the GGUF cataloger

the media type glob `application/vnd.docker.ai*` also matched config,
model.file, license and safetensors layers, so every safetensors OCI model
reported spurious "invalid GGUF magic number" unknowns. Match
`application/vnd.docker.ai.gguf.v3` exactly.

Signed-off-by: Alex Goodman <wagoodman@users.noreply.github.com>

* fix(ai): don't wrap safetensors parameter counts

- tensors whose shape product overflows uint64 are skipped instead of wrapping
- per-file and per-shard parameter totals saturate instead of wrapping
- parameter count and dominant dtype are computed in one pass
- GGUF licenses are created with the scan context, and drop no-op unknown checks

Signed-off-by: Alex Goodman <wagoodman@users.noreply.github.com>

* refactor(ai): derive safetensors model info from the header in one place

the file and OCI layer parsers built identical metadata from a parsed header.

Signed-off-by: Alex Goodman <wagoodman@users.noreply.github.com>

* fix(ai): keep the GGUF media type with the GGUF cataloger

also corrects stale comments in the GGUF merge processor.

Signed-off-by: Alex Goodman <wagoodman@users.noreply.github.com>

---------

Signed-off-by: Alex Goodman <wagoodman@users.noreply.github.com>

syft/pkg/cataloger/ai/cataloger.go

@@ -11,8 +11,12 @@ import (
 
 const (
 	catalogerName            = "gguf-cataloger"
-	ggufLayerMediaType       = "application/vnd.docker.ai*"
 	safeTensorsCatalogerName = "safetensors-cataloger"
+
+	// dockerAIGGUFMediaType mirrors ggufLayerMediaType in
+	// syft/source/ocimodelsource/registry_client.go. It is matched exactly: the
+	// other application/vnd.docker.ai.* layers are not GGUF.
+	dockerAIGGUFMediaType = "application/vnd.docker.ai.gguf.v3"
 )
 
 // NewGGUFCataloger returns a new cataloger instance for GGUF model files.
@@ -21,7 +25,7 @@ const (
 func NewGGUFCataloger() pkg.Cataloger {
 	return generic.NewCataloger(catalogerName).
 		WithParserByGlobs(parseGGUFModel, "**/*.gguf").
-		WithParserByMediaType(parseGGUFModel, ggufLayerMediaType).
+		WithParserByMediaType(parseGGUFModel, dockerAIGGUFMediaType).
 		WithProcessors(ggufMergeProcessor)
 }
 

syft/pkg/cataloger/ai/cataloger_test.go

@@ -1,10 +1,17 @@
 package ai
 
 import (
+	"context"
 	"os"
 	"path/filepath"
 	"testing"
 
+	"github.com/stretchr/testify/assert"
+	"github.com/stretchr/testify/require"
+
+	"github.com/anchore/syft/internal/tmpdir"
+	"github.com/anchore/syft/syft/internal/fileresolver"
+
 	"github.com/anchore/syft/syft/artifact"
 	"github.com/anchore/syft/syft/pkg"
 	"github.com/anchore/syft/syft/pkg/cataloger/internal/pkgtest"
@@ -138,3 +145,42 @@ func TestGGUFCataloger(t *testing.T) {
 		})
 	}
 }
+
+func TestGGUFCataloger_ociLayers(t *testing.T) {
+	// a GGUF OCI artifact is merged into one named package, while the other
+	// application/vnd.docker.ai.* layers (config, model.file, license and
+	// safetensors weights) never reach the GGUF parser.
+	named := newTestGGUFBuilder().
+		withStringKV("general.architecture", "llama").
+		withStringKV("general.name", "llama3-8b").
+		build()
+	part := newTestGGUFBuilder().withStringKV("general.architecture", "llama").build()
+
+	dir := t.TempDir()
+	layers := map[string]fileresolver.LayerInfo{}
+	for digest, l := range map[string]struct {
+		mediaType string
+		content   []byte
+	}{
+		"sha256:named":   {dockerAIGGUFMediaType, named},
+		"sha256:part":    {dockerAIGGUFMediaType, part},
+		"sha256:config":  {dockerAIModelConfigMediaTypes[0], []byte("not a gguf file")},
+		"sha256:file":    {dockerAIModelFileMediaType, []byte("not a gguf file")},
+		"sha256:license": {dockerAILicenseMediaType, []byte("not a gguf file")},
+		"sha256:weights": {dockerAISafeTensorsMediaType, []byte("not a gguf file")},
+	} {
+		p := filepath.Join(dir, digest[len("sha256:"):])
+		require.NoError(t, os.WriteFile(p, l.content, 0o600))
+		layers[digest] = fileresolver.LayerInfo{TempPath: p, MediaType: l.mediaType}
+	}
+	resolver := fileresolver.NewContainerImageModel(dir, layers, "example/model:latest")
+	ctx := tmpdir.WithValue(context.Background(), tmpdir.FromPath(t.TempDir()))
+
+	pkgs, _, err := NewGGUFCataloger().Catalog(ctx, resolver)
+	require.NoError(t, err)
+	require.Len(t, pkgs, 1)
+	assert.Equal(t, "llama3-8b", pkgs[0].Name)
+	header, ok := pkgs[0].Metadata.(pkg.GGUFFileHeader)
+	require.True(t, ok)
+	assert.Len(t, header.Parts, 1)
+}

syft/pkg/cataloger/ai/gguf_processor.go

@@ -8,17 +8,17 @@ import (
 // ggufMergeProcessor consolidates multiple GGUF packages into a single package
 // representing the AI model. When scanning OCI images with multiple layers,
 // each layer may produce a separate package. This processor finds the package
-// with a name and merges metadata from nameless packages into its GGUFFileParts field.
+// with a name and merges metadata from nameless packages into its Parts field.
 // Only packages with a non-empty name are returned in the final result.
 func ggufMergeProcessor(pkgs []pkg.Package, rels []artifact.Relationship, err error) ([]pkg.Package, []artifact.Relationship, error) {
-	if err != nil {
+	// don't early-return on err: it aggregates per-file failures, and skipping the
-		return pkgs, rels, err
+	// merge would drop every nameless layer and the named package's Parts along
-	}
+	// with it (see safeTensorsMergeProcessor).
 	if len(pkgs) == 0 {
 		return pkgs, rels, err
 	}
 
-	// Separate packages with names from those without
+	// separate packages with names from those without
 	var namedPkgs []pkg.Package
 	var namelessHeaders []pkg.GGUFFileHeader
 
@@ -27,14 +27,14 @@ func ggufMergeProcessor(pkgs []pkg.Package, rels []artifact.Relationship, err er
 			namedPkgs = append(namedPkgs, p)
 		} else {
 			if header, ok := p.Metadata.(pkg.GGUFFileHeader); ok {
-				// We do not want a kv hash for nameless headers
+				// we do not want a kv hash for nameless headers
 				header.MetadataKeyValuesHash = ""
 				namelessHeaders = append(namelessHeaders, header)
 			}
 		}
 	}
 
-	// If there are no named packages, return nothing
+	// if there are no named packages, return nothing
 	if len(namedPkgs) == 0 {
 		return nil, rels, err
 	}

syft/pkg/cataloger/ai/merge.go

@@ -75,7 +75,7 @@ func mergeShardsInto(merged *pkg.SafeTensorsModelInfo, shards []pkg.SafeTensorsM
 	seenKV := map[string]bool{}
 	for _, s := range shards {
 		shardTensorTotal += s.TensorCount
-		merged.Parameters += s.Parameters
+		merged.Parameters = saturatingAdd(merged.Parameters, s.Parameters)
 		firstNonEmpty(&merged.Quantization, s.Quantization)
 		for _, kv := range s.UserMetadata {
 			if seenKV[kv.Key] {

syft/pkg/cataloger/ai/merge_test.go

@@ -1,6 +1,7 @@
 package ai
 
 import (
+	"math"
 	"testing"
 
 	"github.com/stretchr/testify/assert"
@@ -164,3 +165,10 @@ func TestRollupHash(t *testing.T) {
 	assert.NotEqual(t, "a", ab)
 	assert.NotEqual(t, "b", ab)
 }
+
+func TestMergeShardsInto_parametersSaturate(t *testing.T) {
+	var merged pkg.SafeTensorsModelInfo
+	shards := []pkg.SafeTensorsModelInfo{{Parameters: math.MaxUint64 - 1}, {Parameters: 2}}
+	mergeShardsInto(&merged, shards)
+	assert.Equal(t, uint64(math.MaxUint64), merged.Parameters)
+}

syft/pkg/cataloger/ai/package.go

@@ -1,17 +1,19 @@
 package ai
 
 import (
+	"context"
+
 	"github.com/anchore/syft/syft/file"
 	"github.com/anchore/syft/syft/pkg"
 )
 
-func newGGUFPackage(metadata *pkg.GGUFFileHeader, modelName, version, license string, locations ...file.Location) pkg.Package {
+func newGGUFPackage(ctx context.Context, metadata *pkg.GGUFFileHeader, modelName, version, license string, locations ...file.Location) pkg.Package {
 	p := pkg.Package{
 		Name:      modelName,
 		Version:   version,
 		Locations: file.NewLocationSet(locations...),
 		Type:      pkg.ModelPkg,
-		Licenses:  pkg.NewLicenseSet(pkg.NewLicensesFromValues(license)...),
+		Licenses:  pkg.NewLicenseSet(pkg.NewLicensesFromValuesWithContext(ctx, license)...),
 		Metadata:  *metadata,
 		// NOTE: PURL is intentionally not set as the package-url spec
 		// has not yet finalized support for ML model packages

syft/pkg/cataloger/ai/package_test.go

@@ -1,6 +1,7 @@
 package ai
 
 import (
+	"context"
 	"testing"
 
 	"github.com/stretchr/testify/require"
@@ -103,6 +104,7 @@ func TestNewGGUFPackage(t *testing.T) {
 	for _, tt := range tests {
 		t.Run(tt.name, func(t *testing.T) {
 			actual := newGGUFPackage(
+				context.Background(),
 				tt.metadata,
 				tt.input.modelName,
 				tt.input.version,

syft/pkg/cataloger/ai/parse_gguf.go

@@ -45,7 +45,7 @@ func copyHeader(w io.Writer, r io.Reader) error {
 	return nil
 }
 
-// Helper to convert gguf_parser metadata to simpler types
+// helper to convert gguf_parser metadata to simpler types
 func convertGGUFMetadataKVs(kvs gguf_parser.GGUFMetadataKVs) map[string]any {
 	result := make(map[string]any)
 

syft/pkg/cataloger/ai/parse_gguf_model.go

@@ -15,7 +15,6 @@ import (
 	"github.com/anchore/syft/internal"
 	"github.com/anchore/syft/internal/log"
 	"github.com/anchore/syft/internal/tmpdir"
-	"github.com/anchore/syft/internal/unknown"
 	"github.com/anchore/syft/syft/artifact"
 	"github.com/anchore/syft/syft/file"
 	"github.com/anchore/syft/syft/pkg"
@@ -79,6 +78,7 @@ func parseGGUFModel(ctx context.Context, _ file.Resolver, _ *generic.Environment
 
 	// Create package from metadata
 	p := newGGUFPackage(
+		ctx,
 		syftMetadata,
 		metadata.Name,
 		modelVersion,
@@ -86,7 +86,7 @@ func parseGGUFModel(ctx context.Context, _ file.Resolver, _ *generic.Environment
 		reader.WithAnnotation(pkg.EvidenceAnnotationKey, pkg.PrimaryEvidenceAnnotation),
 	)
 
-	return []pkg.Package{p}, nil, unknown.IfEmptyf([]pkg.Package{p}, "unable to parse GGUF file")
+	return []pkg.Package{p}, nil, nil
 }
 
 // computeKVMetadataHash computes a stable hash of the KV metadata for use as a global identifier

syft/pkg/cataloger/ai/parse_safetensors.go

@@ -5,6 +5,8 @@ import (
 	"encoding/json"
 	"fmt"
 	"io"
+	"math"
+	"math/bits"
 	"sort"
 	"strings"
 
@@ -82,47 +84,67 @@ func readSafeTensorsHeader(r io.Reader) (*safeTensorsHeader, error) {
 	return h, nil
 }
 
-// parameterCount sums the element counts across all tensors in the header.
+// modelInfo returns the metadata derivable from the header bytes alone. Naming,
-func (h *safeTensorsHeader) parameterCount() uint64 {
+// licenses and ShardCount are left to the merge processor.
-	var total uint64
+func (h *safeTensorsHeader) modelInfo() pkg.SafeTensorsModelInfo {
-	for _, t := range h.tensors {
+	params, dtype := h.parameterStats()
-		count := uint64(1)
+	return pkg.SafeTensorsModelInfo{
-		for _, dim := range t.Shape {
+		Format:       "safetensors",
-			if dim <= 0 {
+		TensorCount:  uint64(len(h.tensors)),
-				count = 0
+		Parameters:   params,
-				break
+		Quantization: normalizeDType(dtype),
-			}
+		UserMetadata: userMetadataKeyValues(h.metadata),
-			count *= uint64(dim)
+		MetadataHash: h.metadataHash(),
-		}
-		total += count
 	}
-	return total
 }
 
-// dominantDType returns the dtype that accounts for the largest fraction of parameters.
+// parameterStats sums the element counts across all tensors and returns the
-// For mixed-precision models the "dominant" dtype is still a useful summary.
+// dtype that accounts for the largest share of them. For mixed-precision models
-func (h *safeTensorsHeader) dominantDType() string {
+// the "dominant" dtype is still a useful summary. Totals saturate rather than wrap.
+func (h *safeTensorsHeader) parameterStats() (total uint64, dominantDType string) {
 	sizeByDType := make(map[string]uint64)
 	for _, t := range h.tensors {
-		count := uint64(1)
+		count, ok := tensorElements(t.Shape)
-		for _, dim := range t.Shape {
+		if !ok {
-			if dim <= 0 {
+			continue
-				count = 0
-				break
-			}
-			count *= uint64(dim)
 		}
-		sizeByDType[t.DType] += count
+		total = saturatingAdd(total, count)
+		sizeByDType[t.DType] = saturatingAdd(sizeByDType[t.DType], count)
 	}
-	var best string
 	var bestSize uint64
 	for dtype, size := range sizeByDType {
-		if size > bestSize || (size == bestSize && dtype < best) {
+		if size > bestSize || (size == bestSize && dtype < dominantDType) {
-			best = dtype
+			dominantDType = dtype
 			bestSize = size
 		}
 	}
-	return best
+	return total, dominantDType
+}
+
+// tensorElements returns the element count for a shape, or ok=false on a
+// non-positive dim or when the product overflows uint64.
+func tensorElements(shape []int64) (uint64, bool) {
+	n := uint64(1)
+	for _, d := range shape {
+		if d <= 0 {
+			return 0, false
+		}
+		hi, lo := bits.Mul64(n, uint64(d))
+		if hi != 0 {
+			return 0, false
+		}
+		n = lo
+	}
+	return n, true
+}
+
+// saturatingAdd returns a+b, clamped to math.MaxUint64 instead of wrapping.
+func saturatingAdd(a, b uint64) uint64 {
+	sum, carry := bits.Add64(a, b, 0)
+	if carry != 0 {
+		return math.MaxUint64
+	}
+	return sum
 }
 
 // metadataHash returns a stable xxhash64 over the logical tensor content

syft/pkg/cataloger/ai/parse_safetensors_model.go

@@ -6,7 +6,6 @@ import (
 	"io"
 
 	"github.com/anchore/syft/internal"
-	"github.com/anchore/syft/internal/unknown"
 	"github.com/anchore/syft/syft/artifact"
 	"github.com/anchore/syft/syft/file"
 	"github.com/anchore/syft/syft/pkg"
@@ -26,22 +25,13 @@ func parseSafeTensorsFile(_ context.Context, _ file.Resolver, _ *generic.Environ
 		return nil, nil, fmt.Errorf("failed to read safetensors header: %w", err)
 	}
 
-	// ShardCount is intentionally not set here: the merge processor is the single
+	md := header.modelInfo()
-	// owner of ShardCount and derives it from the number of shards in the group.
-	md := pkg.SafeTensorsModelInfo{
-		Format:       "safetensors",
-		TensorCount:  uint64(len(header.tensors)),
-		Parameters:   header.parameterCount(),
-		Quantization: normalizeDType(header.dominantDType()),
-		UserMetadata: userMetadataKeyValues(header.metadata),
-		MetadataHash: header.metadataHash(),
-	}
 
 	p := newSafeTensorsPackage(
 		&md,
 		reader.WithAnnotation(pkg.EvidenceAnnotationKey, pkg.PrimaryEvidenceAnnotation),
 	)
-	return []pkg.Package{p}, nil, unknown.IfEmptyf([]pkg.Package{p}, "unable to parse safetensors file")
+	return []pkg.Package{p}, nil, nil
 }
 
 // integrity check

syft/pkg/cataloger/ai/parse_safetensors_oci.go

@@ -8,7 +8,6 @@ import (
 	"strings"
 
 	"github.com/anchore/syft/internal"
-	"github.com/anchore/syft/internal/unknown"
 	"github.com/anchore/syft/syft/artifact"
 	"github.com/anchore/syft/syft/file"
 	"github.com/anchore/syft/syft/pkg"
@@ -81,7 +80,7 @@ func parseSafeTensorsOCIConfig(_ context.Context, _ file.Resolver, _ *generic.En
 		&md,
 		reader.WithAnnotation(pkg.EvidenceAnnotationKey, pkg.PrimaryEvidenceAnnotation),
 	)
-	return []pkg.Package{p}, nil, unknown.IfEmptyf([]pkg.Package{p}, "unable to parse docker AI safetensors config")
+	return []pkg.Package{p}, nil, nil
 }
 
 // parseSafeTensorsOCILayer decodes the JSON header of a SafeTensors weight
@@ -94,14 +93,7 @@ func parseSafeTensorsOCILayer(_ context.Context, _ file.Resolver, _ *generic.Env
 		return nil, nil, fmt.Errorf("failed to read safetensors layer header: %w", err)
 	}
 
-	md := pkg.SafeTensorsModelInfo{
+	md := header.modelInfo()
-		Format:       "safetensors",
-		TensorCount:  uint64(len(header.tensors)),
-		Parameters:   header.parameterCount(),
-		Quantization: normalizeDType(header.dominantDType()),
-		UserMetadata: userMetadataKeyValues(header.metadata),
-		MetadataHash: header.metadataHash(),
-	}
 
 	p := newSafeTensorsPackage(
 		&md,

syft/pkg/cataloger/ai/parse_safetensors_test.go

@@ -6,6 +6,7 @@ import (
 	"encoding/binary"
 	"encoding/json"
 	"io"
+	"math"
 	"os"
 	"path/filepath"
 	"slices"
@@ -1146,8 +1147,9 @@ func TestSafeTensorsHeader_parameterCountAndDType(t *testing.T) {
 		"small":  {DType: "F32", Shape: []int64{16, 16}},
 		"scalar": {DType: "F32", Shape: []int64{}}, // empty shape contributes 1
 	}}
-	assert.Equal(t, uint64(1000*16+16*16+1), h.parameterCount())
+	params, dtype := h.parameterStats()
-	assert.Equal(t, "BF16", h.dominantDType())
+	assert.Equal(t, uint64(1000*16+16*16+1), params)
+	assert.Equal(t, "BF16", dtype)
 }
 
 func TestSafeTensorsHeader_parameterCount_nonPositiveDims(t *testing.T) {
@@ -1159,7 +1161,29 @@ func TestSafeTensorsHeader_parameterCount_nonPositiveDims(t *testing.T) {
 		"zero":     {DType: "F32", Shape: []int64{4, 0}},
 		"negative": {DType: "F32", Shape: []int64{-1, 8}},
 	}}
-	assert.Equal(t, uint64(16), h.parameterCount())
+	params, _ := h.parameterStats()
+	assert.Equal(t, uint64(16), params)
+}
+
+func TestSafeTensorsHeader_parameterStats_overflow(t *testing.T) {
+	// a shape whose product overflows uint64 is skipped instead of wrapping (the
+	// first tensor would wrap to 0) and can't flip the dominant dtype; the total
+	// saturates instead of wrapping.
+	h := &safeTensorsHeader{tensors: map[string]safeTensorsEntry{
+		"good":     {DType: "BF16", Shape: []int64{4, 4}},
+		"wraps":    {DType: "F32", Shape: []int64{4294967296, 4294967296}},
+		"overflow": {DType: "F32", Shape: []int64{math.MaxInt64, 3}},
+	}}
+	params, dtype := h.parameterStats()
+	assert.Equal(t, uint64(16), params)
+	assert.Equal(t, "BF16", dtype)
+
+	h = &safeTensorsHeader{tensors: map[string]safeTensorsEntry{
+		"a": {DType: "F32", Shape: []int64{math.MaxInt64, 2}},
+		"b": {DType: "F32", Shape: []int64{math.MaxInt64, 2}},
+	}}
+	params, _ = h.parameterStats()
+	assert.Equal(t, uint64(math.MaxUint64), params)
 }
 
 func TestSafeTensorsHeader_dominantDType_tieBreak(t *testing.T) {
@@ -1169,7 +1193,8 @@ func TestSafeTensorsHeader_dominantDType_tieBreak(t *testing.T) {
 		"a": {DType: "F32", Shape: []int64{4, 4}},
 		"b": {DType: "BF16", Shape: []int64{4, 4}},
 	}}
-	assert.Equal(t, "BF16", h.dominantDType())
+	_, dtype := h.parameterStats()
+	assert.Equal(t, "BF16", dtype)
 }
 
 func TestNormalizeDType(t *testing.T) {

syft/pkg/cataloger/ai/processor_test.go

@@ -1,6 +1,7 @@
 package ai
 
 import (
+	"errors"
 	"testing"
 
 	"github.com/stretchr/testify/assert"
@@ -61,3 +62,20 @@ func Test_ggufMergeProcessor(t *testing.T) {
 		})
 	}
 }
+
+func Test_ggufMergeProcessor_mergesDespiteError(t *testing.T) {
+	// one layer failing to parse must not drop the rest of the model
+	parseErr := errors.New("one layer failed to parse")
+	pkgs := []pkg.Package{
+		{Name: "model", Metadata: pkg.GGUFFileHeader{MetadataKeyValuesHash: "abc"}},
+		{Name: "", Metadata: pkg.GGUFFileHeader{MetadataKeyValuesHash: "part1"}},
+	}
+
+	got, _, err := ggufMergeProcessor(pkgs, nil, parseErr)
+	require.ErrorIs(t, err, parseErr)
+	require.Len(t, got, 1)
+	assert.Equal(t, "model", got[0].Name)
+	header, ok := got[0].Metadata.(pkg.GGUFFileHeader)
+	require.True(t, ok)
+	assert.Len(t, header.Parts, 1)
+}